苏黎世联邦理工大学PhD Position in Exoplanet Atmosphere Characterisation and the Search for Life申请条件要求-申请方
主办方
苏黎世联邦理工学院
PhD直招介绍
Doctoral Positions in Exoplanet Atmosphere Characterisation and the Search for Life
We are looking for one or two Doctoral Students to work on the atmospheric characterisation of temperate terrestrial exoplanets and the search for life within the Exoplanets and Habitability Group led by Prof. Sascha P. Quanz at ETH Zurich. The positions is closely connected to the ETH-led LIFE space mission( https://life-space-mission.com/ ). LIFE is a space-based mid-infrared nulling interferometer to directly detect and spectroscopically characterise dozens of temperate terrestrial exoplanets around nearby stars. The successful candidates will join the LIFE Science Team and work closely with researchers and students at ETH Zurich and across the wider LIFE collaboration.
Project background
A central goal of LIFE is to characterise the atmospheres of temperate terrestrial exoplanets and ultimately assess their habitability and possible signs of life. Understanding which atmospheric properties can be robustly inferred from mid-infrared observations is also essential for translating LIFE's science goals into science requirements and corresponding instrument-performance requirements.
Our group has developed the atmospheric retrieval framework pyRetLIFE and has so far investigated mainly Earth-like planets and classical atmospheric biosignature gases. An important next step is to broaden this work towards the diversity of potentially habitable and inhabited worlds: different atmospheric compositions and climates, non-Earth-like biospheres, non-standard biosignatures, and the abiotic scenarios against which potential signs of life need to be interpreted.
Possible research directions for the successful Doctoral students include
The modelling and characterisation of non-Earth-like atmospheres and biospheres, using physically motivated atmospheric models and retrievals to understand which properties and potential biosignatures future missions like LIFE can robustly constrain
The exploration of alternative inference approaches, including machine learning and AI, for atmospheric characterisation and the interpretation of potential signs of life, this could include investigating where such methods provide additional information compared with conventional retrievals, and assessing their robustness, interpretability and sensitivity to modelling assumptions
Job description
Develop and pursue research on the characterisation of temperate terrestrial exoplanet atmospheres and the search for signs of life in the context of the LIFE mission
Investigate atmospheric scenarios beyond modern Earth analogues; this may include non-Earth-like biospheres, non-standard biosignatures and/or relevant abiotic alternatives
Use and further develop atmospheric retrieval and/or complementary modelling and inference approaches
Explore, where relevant, ML/AI approaches for atmospheric inference and interpretation
Investigate the robustness and limitations of atmospheric characterisation methods and compare complementary approaches where scientifically useful
In close collaboration with the LIFE Science Team and LIFE Instrument Science Team, translate atmospheric characterisation results into science requirements and related instrument-performance requirements for LIFE
Contribute new scientific ideas to the development of the LIFE science case and interact with the broader LIFE collaboration
Working, teaching and research at ETH Zurich
( https://ethz.ch/en/the-eth-zurich/working-teaching-and-research.html )
We value diversity and sustainability
In line with our values( https://ethz.ch/en/the-eth-zurich.html ), ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website( https://ethz.ch/staffnet/en/employment-and-work/working-environment/diversity.html ) to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future( https://ethz.ch/en/the-eth-zurich/sustainability.html ).
About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
苏黎世联邦理工学院 PhD Position in Exoplanet Atmosphere Characterisation and the Search for Life项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
We offer
A collaborative and interdisciplinary research environment within the Exoplanets and Habitability Group and the LIFE Space Mission team at ETH Zurich, with close links to the international LIFE collaboration
A fully funded four-year Doctoral Position with competitive salary and benefits according to ETH regulations, including support for conference travel, computing and career development
苏黎世联邦理工学院Phd申请条件和要求都有哪些？PhD Position in Exoplanet Atmosphere Characterisation and the Search for Life项目是不是全奖？有没有奖学金？下面我们一起看一下苏黎世联邦理工学院申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Profile
Master's degree (or equivalent degree) in astrophysics, planetary science, atmospheric science, physics or a closely related field, completed by the start date
Strong interest in exoplanet science, atmospheres, habitability, biosignatures and the search for life
Experience in one or more of the following is welcome, but not required: atmospheric modelling, atmospheric retrievals, radiative transfer, photochemical or climate modelling, statistical inference, machine-learning/AI methods, or related numerical approaches
Strong scientific programming skills, preferably in Python; experience with AI and machine learning tools is an asset
Ability and interest to work in a team and across disciplinary boundaries
Ability to interact with the broader exoplanet, atmospheric science and astrobiology communities
Scientific curiosity, independence and a collaborative approach to research
Very good command of English (spoken and written)
报名方式
申请链接
招生人信息
Prof. Sascha P. Quanz
邮箱：sascha.quanz@phys.ethz.ch
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